Requirements

• Strong software engineering fundamentals and experience building production systems
• Strong experience in backend and platform engineering
• Strong system design and architecture skills, especially for shared services or internal platforms
• Practical experience owning systems in production, including deployment, monitoring, support, and incident handling
• Strong understanding of reliability, observability, and operational excellence
• Practical experience with cloud environments and modern release engineering practices
• Experience designing reusable APIs, libraries, SDKs, or internal engineering capabilities
• Good practical experience with Python and/or JavaScript / TypeScript
• Experience building or contributing to AI- or LLM-powered systems in production
• Good understanding of LLM integration patterns, model APIs, prompts, and the engineering trade-offs involved in AI systems
• Good understanding of how to make AI systems observable, testable, and ready for production
• Comfortable working across the full lifecycle of a service, from design and implementation to deployment, support, and improvement
• Good understanding of information security and how to design platform capabilities with security in mind
• Comfortable applying unit testing, continuous integration, and continuous deployment
• Strong communication skills, both synchronous and asynchronous
• Comfortable working through ambiguity and helping shape technical direction where the path is not fully defined
• A platform mindset: able to think beyond one team or one feature and design for reuse, clarity, and long-term maintainability

Nice to have

• Experience building internal developer platforms or shared engineering tooling
• Experience with AI platform architecture, model access layers, orchestration patterns, or reusable AI infrastructure
• Experience with AI observability tools such as LangSmith or similar tracing or evaluation platforms
• Familiarity with evaluation workflows, regression checks, and quality gates for A systems
• Experience with cost visibility, usage attribution, or FinOps-style patterns for AI workloads
• Experience working in environments where multiple teams consume shared services
• Experience improving developer experience through templates, examples, SDKs, or documentation
• Experience introducing standards in a way that improves quality without creating unnecessary process

Tools and technologies you may work with:

• Python
• JavaScript / TypeScript
• Azure / AWS
• LLM APIs
• CI/CD tooling
• Observability and tracing tools
• Internal APIs, SDKs, and shared platform services

Working style

We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.

A strong fit for this role is someone who:

• Enjoys solving platform problems that help many teams, not just one product
• Thinks in terms of reusable patterns, clear interfaces, and production ownership
• Communicates clearly and keeps others aligned, both sync and async
• Cares about reliability, observability, maintainability, and operational simplicity
• Is comfortable making architectural trade-offs and simplifying complexity
• Avoids overengineering and focuses on durable, high-leverage solutions
• Is proactive about identifying repeated problems and turning them into reusable platform capabilities
• Enjoys mentoring others and helping raise the engineering bar across the team

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.